Hybrid Massive MIMO Channel Model Based on Edge Detection of Interacting Objects and Cluster Concept

Abstract

This paper presents a novel channel model based on the edge detection of the interacting objects (IOs) for massive multiple-input and multiple-output (MIMO) systems considering different propagation phenomena such as reflection, refraction, diffraction, and scattering occur at the edges of the IOs. This channel model also uses cluster concepts to model multipath components (MPCs). The time-variant condition of the channel as well as the Doppler effect is considered in this channel model. Also, the non-stationary property of the channel across the array axis can be observed in the simulations. Due to a large number of antenna elements utilized in the massive MIMO systems, the spherical wavefront is assumed instead of the plane wavefront which is used in the conventional MIMO channel model. The central limit theory is also utilized to model the MPCs of each cluster. Furthermore, specific channel characteristics such as channel impulse response (CIR), angle of arrival (AoA) as well as time of arrival (ToA) are extracted in the simulations of the channel.